Meng-Kang Hsieh
According to our database1,
Meng-Kang Hsieh
authored at least 11 papers
between 2016 and 2020.
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Bibliography
2020
Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Three-Dimensional Whole Breast Segmentation in Sagittal and Axial Breast MRI With Dense Depth Field Modeling and Localized Self-Adaptation for Chest-Wall Line Detection.
IEEE Trans. Biomed. Eng., 2019
Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
2018
Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer: results from the ACRIN 6657/I-SPY-1 trial.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Validation of the textural realism of a 3D anthropomorphic phantom for digital breast tomosynthesis.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2017
Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Capturing heterogeneous group differences using mixture-of-experts: Application to a study of aging.
NeuroImage, 2016
Parenchymal texture measures weighted by breast anatomy: preliminary optimization in a case-control study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016